{"id":"W2067316979","doi":"10.1108/afr-11-2012-0061","title":"Optimal reinsurance analysis from a crop insurer's perspective","year":2013,"lang":"en","type":"article","venue":"Agricultural Finance Review","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reinsurance; Actuarial science; Crop insurance; Empirical research; Econometrics; Economics; Risk management; Business; Statistics; Finance; Mathematics; Agriculture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002806428,0.000379561,0.001290243,0.0001394646,0.0001973882,0.000125427,0.000527062,0.0001175295,0.0014945],"category_scores_gemma":[0.0001447713,0.0003039898,0.0006857691,0.002166599,0.00007291866,0.000770686,0.0001073473,0.0002712939,0.008051721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002292385,"about_ca_system_score_gemma":0.00001355043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00520249,"about_ca_topic_score_gemma":0.000101235,"domain_scores_codex":[0.9974411,0.00003452288,0.0009906103,0.0008871431,0.0001056222,0.0005409901],"domain_scores_gemma":[0.9983568,0.00003785172,0.0006654834,0.0006062555,0.0002486241,0.0000849962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003738648,0.000805548,0.07779756,0.001235616,0.004042792,0.0000728059,0.002051634,0.001538613,0.0001079187,0.7084848,0.1630965,0.04072887],"study_design_scores_gemma":[0.00028277,0.00005273142,0.833474,0.0004773688,0.0001921873,0.0000021387,0.00008094774,0.0001211859,0.00001725719,0.005161292,0.1594743,0.0006637787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4245273,0.5246844,0.001120739,0.005458151,0.0004476398,0.001647429,0.0003515676,0.0001329131,0.04162979],"genre_scores_gemma":[0.7563388,0.2359688,0.002132326,0.001488328,0.0002206912,0.0004477312,0.0001101451,0.0000220897,0.003271028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7556765,"threshold_uncertainty_score":0.9999412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586817933414318,"score_gpt":0.2182735452808635,"score_spread":0.2024053659467203,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}